Week9/ML_Geo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Science for Geoscience\n",
    "\n",
    "Let's use some standard Machine Learning tools available in Python packages to analyse some data.\n",
    "\n",
    "We have a dataset (from Butterworth et al 2016) with a collection of tectonomagmatic parameters associated with the time and location of porphyry copper deposits. We want to determine which of these (if any) parameters are geologically important (or at least statistically significant) in relation to the formation of porphyry coppers.\n",
    "\n",
    "Run the next cell to see an animation representing this data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![SegmentLocal](../data/MullerConvergenceSmall.gif \"segment\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Now, import most of the modules we need\n",
    "By convention module loads go at the top of your workflows."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/dist-packages/sklearn/ensemble/weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release.\n",
      "  from numpy.core.umath_tests import inner1d\n"
     ]
    },
    {
     "ename": "ImportError",
     "evalue": "No module named cartopy.crs",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mImportError\u001b[0m                               Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-1-f32d98093359>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     16\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     17\u001b[0m \u001b[0;31m#For easy geographic projections on a map\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 18\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mcartopy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcrs\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mccrs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     19\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     20\u001b[0m \u001b[0;31m#Import a set of tools we have made ourselves\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mImportError\u001b[0m: No module named cartopy.crs"
     ]
    }
   ],
   "source": [
    "import pandas #For dealing with data structures\n",
    "import numpy as np #Data array manipulation\n",
    "import scipy #Scientific Python, has lots of useful tools\n",
    "import scipy.io #A specific sub-module for input/output of sci data\n",
    "\n",
    "#scikit-learn tools to perform machine learning classification\n",
    "#from sklearn import cross_validation\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn import preprocessing\n",
    "\n",
    "#For making pretty figures\n",
    "import matplotlib.pyplot as plt \n",
    "\n",
    "#For easy geographic projections on a map\n",
    "import cartopy.crs as ccrs\n",
    "\n",
    "#Import a set of tools we have made ourselves\n",
    "from utils import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Now load in the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Use pandas to load in the machine learning dataset\n",
    "ml_data=pandas.read_csv(\"../data/ml_data_points.csv\",index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0 Present day longitude (degrees)</th>\n",
       "      <th>1 Present day latitude (degrees)</th>\n",
       "      <th>2 Reconstructed longitude (degrees)</th>\n",
       "      <th>3 Reconstructed latitude (degrees)</th>\n",
       "      <th>4 Age (Ma)</th>\n",
       "      <th>5 Time before mineralisation (Myr)</th>\n",
       "      <th>6 Seafloor age (Myr)</th>\n",
       "      <th>7 Segment length (km)</th>\n",
       "      <th>8 Slab length (km)</th>\n",
       "      <th>9 Distance to trench edge (km)</th>\n",
       "      <th>...</th>\n",
       "      <th>11 Subducting plate parallel velocity (km/Myr)</th>\n",
       "      <th>12 Overriding plate normal velocity (km/Myr)</th>\n",
       "      <th>13 Overriding plate parallel velocity (km/Myr)</th>\n",
       "      <th>14 Convergence normal rate (km/Myr)</th>\n",
       "      <th>15 Convergence parallel rate (km/Myr)</th>\n",
       "      <th>16 Subduction polarity (degrees)</th>\n",
       "      <th>17 Subduction obliquity (degrees)</th>\n",
       "      <th>18 Distance along margin (km)</th>\n",
       "      <th>19 Subduction obliquity signed (radians)</th>\n",
       "      <th>20 Ore Deposits Binary Flag (1 or 0)</th>\n",
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       "      <td>-65.264812</td>\n",
       "      <td>-28.103781</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48.189707</td>\n",
       "      <td>56.08069</td>\n",
       "      <td>2436.30907</td>\n",
       "      <td>2436.30907</td>\n",
       "      <td>...</td>\n",
       "      <td>40.63020</td>\n",
       "      <td>-17.43987</td>\n",
       "      <td>12.20271</td>\n",
       "      <td>102.31471</td>\n",
       "      <td>28.82518</td>\n",
       "      <td>5.67505</td>\n",
       "      <td>15.73415</td>\n",
       "      <td>2269.19769</td>\n",
       "      <td>0.274613</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-69.75</td>\n",
       "      <td>-30.50</td>\n",
       "      <td>-67.696759</td>\n",
       "      <td>-31.970639</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52.321162</td>\n",
       "      <td>56.09672</td>\n",
       "      <td>2490.68735</td>\n",
       "      <td>2490.68735</td>\n",
       "      <td>...</td>\n",
       "      <td>39.60199</td>\n",
       "      <td>-22.80622</td>\n",
       "      <td>13.40127</td>\n",
       "      <td>115.35820</td>\n",
       "      <td>27.39401</td>\n",
       "      <td>5.78937</td>\n",
       "      <td>13.35854</td>\n",
       "      <td>1823.34107</td>\n",
       "      <td>0.233151</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-66.65</td>\n",
       "      <td>-27.27</td>\n",
       "      <td>-65.128689</td>\n",
       "      <td>-28.374772</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>53.506085</td>\n",
       "      <td>55.77705</td>\n",
       "      <td>2823.54951</td>\n",
       "      <td>2823.54951</td>\n",
       "      <td>...</td>\n",
       "      <td>45.32425</td>\n",
       "      <td>-18.08485</td>\n",
       "      <td>11.27500</td>\n",
       "      <td>100.24282</td>\n",
       "      <td>34.62444</td>\n",
       "      <td>8.97218</td>\n",
       "      <td>19.05520</td>\n",
       "      <td>2269.19769</td>\n",
       "      <td>0.332576</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-66.61</td>\n",
       "      <td>-27.33</td>\n",
       "      <td>-65.257928</td>\n",
       "      <td>-28.311094</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51.317135</td>\n",
       "      <td>55.90088</td>\n",
       "      <td>2656.71724</td>\n",
       "      <td>2656.71724</td>\n",
       "      <td>...</td>\n",
       "      <td>43.13319</td>\n",
       "      <td>-17.78538</td>\n",
       "      <td>11.72618</td>\n",
       "      <td>101.21965</td>\n",
       "      <td>31.92962</td>\n",
       "      <td>7.42992</td>\n",
       "      <td>17.50782</td>\n",
       "      <td>2269.19769</td>\n",
       "      <td>0.305569</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-66.55</td>\n",
       "      <td>-27.40</td>\n",
       "      <td>-65.366917</td>\n",
       "      <td>-28.257580</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49.340097</td>\n",
       "      <td>56.09011</td>\n",
       "      <td>2547.29585</td>\n",
       "      <td>2547.29585</td>\n",
       "      <td>...</td>\n",
       "      <td>40.57322</td>\n",
       "      <td>-17.43622</td>\n",
       "      <td>12.23778</td>\n",
       "      <td>102.25748</td>\n",
       "      <td>28.80235</td>\n",
       "      <td>5.65657</td>\n",
       "      <td>15.73067</td>\n",
       "      <td>2269.19769</td>\n",
       "      <td>0.274552</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-66.57</td>\n",
       "      <td>-27.28</td>\n",
       "      <td>-65.217784</td>\n",
       "      <td>-28.260958</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51.466451</td>\n",
       "      <td>55.90088</td>\n",
       "      <td>2656.71724</td>\n",
       "      <td>2656.71724</td>\n",
       "      <td>...</td>\n",
       "      <td>43.13319</td>\n",
       "      <td>-17.78538</td>\n",
       "      <td>11.72618</td>\n",
       "      <td>101.21965</td>\n",
       "      <td>31.92962</td>\n",
       "      <td>7.42992</td>\n",
       "      <td>17.50782</td>\n",
       "      <td>2269.19769</td>\n",
       "      <td>0.305569</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-67.90</td>\n",
       "      <td>-26.30</td>\n",
       "      <td>-65.391160</td>\n",
       "      <td>-28.036212</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>59.705229</td>\n",
       "      <td>56.14614</td>\n",
       "      <td>2937.75395</td>\n",
       "      <td>2937.75395</td>\n",
       "      <td>...</td>\n",
       "      <td>39.41149</td>\n",
       "      <td>-23.26852</td>\n",
       "      <td>13.45193</td>\n",
       "      <td>116.11452</td>\n",
       "      <td>27.28535</td>\n",
       "      <td>5.46709</td>\n",
       "      <td>13.22382</td>\n",
       "      <td>2325.21126</td>\n",
       "      <td>0.230799</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-70.58</td>\n",
       "      <td>-38.25</td>\n",
       "      <td>-44.673534</td>\n",
       "      <td>-42.077290</td>\n",
       "      <td>85.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.269256</td>\n",
       "      <td>55.39199</td>\n",
       "      <td>2151.81813</td>\n",
       "      <td>2151.81813</td>\n",
       "      <td>...</td>\n",
       "      <td>54.37230</td>\n",
       "      <td>-64.95285</td>\n",
       "      <td>1.30871</td>\n",
       "      <td>78.24529</td>\n",
       "      <td>41.27280</td>\n",
       "      <td>15.23262</td>\n",
       "      <td>27.81074</td>\n",
       "      <td>1051.14453</td>\n",
       "      <td>0.485389</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-70.05</td>\n",
       "      <td>-31.95</td>\n",
       "      <td>-67.762375</td>\n",
       "      <td>-33.560754</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52.536887</td>\n",
       "      <td>56.09528</td>\n",
       "      <td>2322.50643</td>\n",
       "      <td>2322.50643</td>\n",
       "      <td>...</td>\n",
       "      <td>39.04452</td>\n",
       "      <td>-22.55457</td>\n",
       "      <td>13.52329</td>\n",
       "      <td>115.01528</td>\n",
       "      <td>26.79653</td>\n",
       "      <td>5.64144</td>\n",
       "      <td>13.11495</td>\n",
       "      <td>1655.41651</td>\n",
       "      <td>0.228899</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-66.60</td>\n",
       "      <td>-24.13</td>\n",
       "      <td>-64.317484</td>\n",
       "      <td>-25.721047</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.362977</td>\n",
       "      <td>56.15019</td>\n",
       "      <td>3218.30664</td>\n",
       "      <td>3218.30664</td>\n",
       "      <td>...</td>\n",
       "      <td>40.05359</td>\n",
       "      <td>-23.55670</td>\n",
       "      <td>13.30724</td>\n",
       "      <td>116.18280</td>\n",
       "      <td>27.99456</td>\n",
       "      <td>5.64018</td>\n",
       "      <td>13.54734</td>\n",
       "      <td>2549.28917</td>\n",
       "      <td>0.236446</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>-70.45</td>\n",
       "      <td>-31.76</td>\n",
       "      <td>-68.784462</td>\n",
       "      <td>-33.002423</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>45.120041</td>\n",
       "      <td>56.07589</td>\n",
       "      <td>2322.36788</td>\n",
       "      <td>2322.36788</td>\n",
       "      <td>...</td>\n",
       "      <td>39.93994</td>\n",
       "      <td>-16.74080</td>\n",
       "      <td>12.40009</td>\n",
       "      <td>100.67874</td>\n",
       "      <td>28.22672</td>\n",
       "      <td>5.74423</td>\n",
       "      <td>15.66160</td>\n",
       "      <td>1711.38826</td>\n",
       "      <td>0.273346</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-66.22</td>\n",
       "      <td>-27.38</td>\n",
       "      <td>-65.204374</td>\n",
       "      <td>-28.113628</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48.306817</td>\n",
       "      <td>56.08069</td>\n",
       "      <td>2436.30907</td>\n",
       "      <td>2436.30907</td>\n",
       "      <td>...</td>\n",
       "      <td>40.63020</td>\n",
       "      <td>-17.43987</td>\n",
       "      <td>12.20271</td>\n",
       "      <td>102.31471</td>\n",
       "      <td>28.82518</td>\n",
       "      <td>5.67505</td>\n",
       "      <td>15.73415</td>\n",
       "      <td>2269.19769</td>\n",
       "      <td>0.274613</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-66.76</td>\n",
       "      <td>-25.14</td>\n",
       "      <td>-64.016998</td>\n",
       "      <td>-27.003955</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62.129534</td>\n",
       "      <td>56.16073</td>\n",
       "      <td>3106.42087</td>\n",
       "      <td>3106.42087</td>\n",
       "      <td>...</td>\n",
       "      <td>39.39617</td>\n",
       "      <td>-23.42293</td>\n",
       "      <td>13.43823</td>\n",
       "      <td>116.24982</td>\n",
       "      <td>27.35698</td>\n",
       "      <td>5.48309</td>\n",
       "      <td>13.24243</td>\n",
       "      <td>2437.24556</td>\n",
       "      <td>0.231124</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>-67.75</td>\n",
       "      <td>-29.00</td>\n",
       "      <td>-67.077600</td>\n",
       "      <td>-29.490617</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43.574875</td>\n",
       "      <td>55.58629</td>\n",
       "      <td>2102.41843</td>\n",
       "      <td>2102.41843</td>\n",
       "      <td>...</td>\n",
       "      <td>49.33884</td>\n",
       "      <td>-18.97616</td>\n",
       "      <td>9.25569</td>\n",
       "      <td>83.52876</td>\n",
       "      <td>40.42652</td>\n",
       "      <td>14.89147</td>\n",
       "      <td>25.82620</td>\n",
       "      <td>2101.98857</td>\n",
       "      <td>0.450752</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-65.87</td>\n",
       "      <td>-24.20</td>\n",
       "      <td>-63.123395</td>\n",
       "      <td>-26.056066</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>63.266054</td>\n",
       "      <td>56.16512</td>\n",
       "      <td>3218.74892</td>\n",
       "      <td>3218.74892</td>\n",
       "      <td>...</td>\n",
       "      <td>39.54822</td>\n",
       "      <td>-23.52480</td>\n",
       "      <td>13.39993</td>\n",
       "      <td>116.27368</td>\n",
       "      <td>27.54669</td>\n",
       "      <td>5.52920</td>\n",
       "      <td>13.32835</td>\n",
       "      <td>2605.31534</td>\n",
       "      <td>0.232624</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-69.08</td>\n",
       "      <td>-32.42</td>\n",
       "      <td>-66.537432</td>\n",
       "      <td>-34.163909</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>55.833021</td>\n",
       "      <td>56.10011</td>\n",
       "      <td>2266.50887</td>\n",
       "      <td>2266.50887</td>\n",
       "      <td>...</td>\n",
       "      <td>38.68944</td>\n",
       "      <td>-22.46223</td>\n",
       "      <td>13.59475</td>\n",
       "      <td>114.88423</td>\n",
       "      <td>26.44916</td>\n",
       "      <td>5.55528</td>\n",
       "      <td>12.96498</td>\n",
       "      <td>1655.41651</td>\n",
       "      <td>0.226282</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-69.10</td>\n",
       "      <td>-32.48</td>\n",
       "      <td>-66.557288</td>\n",
       "      <td>-34.224035</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>55.698374</td>\n",
       "      <td>56.10011</td>\n",
       "      <td>2266.50887</td>\n",
       "      <td>2266.50887</td>\n",
       "      <td>...</td>\n",
       "      <td>38.68944</td>\n",
       "      <td>-22.46223</td>\n",
       "      <td>13.59475</td>\n",
       "      <td>114.88423</td>\n",
       "      <td>26.44916</td>\n",
       "      <td>5.55528</td>\n",
       "      <td>12.96498</td>\n",
       "      <td>1599.44790</td>\n",
       "      <td>0.226282</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-70.47</td>\n",
       "      <td>-37.43</td>\n",
       "      <td>-59.678626</td>\n",
       "      <td>-42.444274</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>33.873716</td>\n",
       "      <td>59.02215</td>\n",
       "      <td>2898.37931</td>\n",
       "      <td>2898.37931</td>\n",
       "      <td>...</td>\n",
       "      <td>47.91525</td>\n",
       "      <td>-23.22106</td>\n",
       "      <td>13.76089</td>\n",
       "      <td>46.73662</td>\n",
       "      <td>16.26397</td>\n",
       "      <td>19.13779</td>\n",
       "      <td>19.18749</td>\n",
       "      <td>1160.83787</td>\n",
       "      <td>0.334885</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-69.97</td>\n",
       "      <td>-32.57</td>\n",
       "      <td>-68.463093</td>\n",
       "      <td>-33.685779</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42.654362</td>\n",
       "      <td>56.06216</td>\n",
       "      <td>2208.83713</td>\n",
       "      <td>2208.83713</td>\n",
       "      <td>...</td>\n",
       "      <td>39.85835</td>\n",
       "      <td>-16.61112</td>\n",
       "      <td>12.39474</td>\n",
       "      <td>100.48606</td>\n",
       "      <td>28.08351</td>\n",
       "      <td>5.71419</td>\n",
       "      <td>15.61444</td>\n",
       "      <td>1599.44790</td>\n",
       "      <td>0.272523</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-67.78</td>\n",
       "      <td>-24.57</td>\n",
       "      <td>-61.593566</td>\n",
       "      <td>-28.340027</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62.586817</td>\n",
       "      <td>56.27662</td>\n",
       "      <td>3166.34885</td>\n",
       "      <td>3166.34885</td>\n",
       "      <td>...</td>\n",
       "      <td>61.34638</td>\n",
       "      <td>-26.29743</td>\n",
       "      <td>13.51042</td>\n",
       "      <td>80.21046</td>\n",
       "      <td>42.83765</td>\n",
       "      <td>4.55219</td>\n",
       "      <td>28.10514</td>\n",
       "      <td>2493.26622</td>\n",
       "      <td>0.490527</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>-67.73</td>\n",
       "      <td>-24.58</td>\n",
       "      <td>-61.018469</td>\n",
       "      <td>-28.503875</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.707044</td>\n",
       "      <td>56.28771</td>\n",
       "      <td>3167.03056</td>\n",
       "      <td>3167.03056</td>\n",
       "      <td>...</td>\n",
       "      <td>49.19831</td>\n",
       "      <td>-25.66768</td>\n",
       "      <td>0.93397</td>\n",
       "      <td>79.70314</td>\n",
       "      <td>42.80777</td>\n",
       "      <td>4.35778</td>\n",
       "      <td>28.23981</td>\n",
       "      <td>2493.26622</td>\n",
       "      <td>0.492878</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-67.48</td>\n",
       "      <td>-16.92</td>\n",
       "      <td>-63.003008</td>\n",
       "      <td>-19.875412</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>69.678543</td>\n",
       "      <td>54.87570</td>\n",
       "      <td>3669.27017</td>\n",
       "      <td>2439.17729</td>\n",
       "      <td>...</td>\n",
       "      <td>-17.66982</td>\n",
       "      <td>-15.04259</td>\n",
       "      <td>25.69831</td>\n",
       "      <td>123.85464</td>\n",
       "      <td>-42.57782</td>\n",
       "      <td>-28.38757</td>\n",
       "      <td>18.97156</td>\n",
       "      <td>3050.40547</td>\n",
       "      <td>-0.331116</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-66.60</td>\n",
       "      <td>-18.44</td>\n",
       "      <td>-62.578351</td>\n",
       "      <td>-21.113117</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>70.534838</td>\n",
       "      <td>55.66454</td>\n",
       "      <td>3612.54939</td>\n",
       "      <td>2605.14028</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.89420</td>\n",
       "      <td>-18.20578</td>\n",
       "      <td>22.96976</td>\n",
       "      <td>127.97605</td>\n",
       "      <td>-23.93471</td>\n",
       "      <td>-20.98566</td>\n",
       "      <td>10.59336</td>\n",
       "      <td>2995.47045</td>\n",
       "      <td>-0.184889</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>-65.75</td>\n",
       "      <td>-19.63</td>\n",
       "      <td>-63.714471</td>\n",
       "      <td>-21.080676</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.823598</td>\n",
       "      <td>55.50303</td>\n",
       "      <td>3553.42217</td>\n",
       "      <td>2882.78329</td>\n",
       "      <td>...</td>\n",
       "      <td>19.89490</td>\n",
       "      <td>-20.45905</td>\n",
       "      <td>17.94159</td>\n",
       "      <td>119.42524</td>\n",
       "      <td>3.14439</td>\n",
       "      <td>-6.44167</td>\n",
       "      <td>1.50821</td>\n",
       "      <td>2939.82516</td>\n",
       "      <td>0.026323</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>-66.45</td>\n",
       "      <td>-20.95</td>\n",
       "      <td>-64.190695</td>\n",
       "      <td>-22.540135</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>61.020386</td>\n",
       "      <td>55.99733</td>\n",
       "      <td>3442.22422</td>\n",
       "      <td>2994.38907</td>\n",
       "      <td>...</td>\n",
       "      <td>10.50674</td>\n",
       "      <td>-18.64111</td>\n",
       "      <td>19.77099</td>\n",
       "      <td>119.25076</td>\n",
       "      <td>-8.00946</td>\n",
       "      <td>-11.80177</td>\n",
       "      <td>3.84249</td>\n",
       "      <td>2772.84261</td>\n",
       "      <td>-0.067064</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>-66.03</td>\n",
       "      <td>-20.91</td>\n",
       "      <td>-63.098522</td>\n",
       "      <td>-22.903052</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>65.871092</td>\n",
       "      <td>56.00428</td>\n",
       "      <td>3442.98002</td>\n",
       "      <td>2995.02556</td>\n",
       "      <td>...</td>\n",
       "      <td>35.35649</td>\n",
       "      <td>-18.54939</td>\n",
       "      <td>19.88665</td>\n",
       "      <td>124.00639</td>\n",
       "      <td>18.44845</td>\n",
       "      <td>-11.96498</td>\n",
       "      <td>8.46184</td>\n",
       "      <td>2772.84261</td>\n",
       "      <td>0.147687</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-66.00</td>\n",
       "      <td>-18.70</td>\n",
       "      <td>-61.712000</td>\n",
       "      <td>-21.495872</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>70.013126</td>\n",
       "      <td>55.67032</td>\n",
       "      <td>3613.52796</td>\n",
       "      <td>2493.41553</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.51536</td>\n",
       "      <td>-18.22077</td>\n",
       "      <td>23.52746</td>\n",
       "      <td>128.19400</td>\n",
       "      <td>-26.40642</td>\n",
       "      <td>-21.05913</td>\n",
       "      <td>11.63944</td>\n",
       "      <td>2939.82516</td>\n",
       "      <td>-0.203147</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>-66.79</td>\n",
       "      <td>-18.14</td>\n",
       "      <td>-63.024231</td>\n",
       "      <td>-20.686871</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>70.395841</td>\n",
       "      <td>55.65934</td>\n",
       "      <td>3611.66084</td>\n",
       "      <td>2716.87097</td>\n",
       "      <td>...</td>\n",
       "      <td>16.86624</td>\n",
       "      <td>-15.21540</td>\n",
       "      <td>22.64065</td>\n",
       "      <td>124.51078</td>\n",
       "      <td>-2.43651</td>\n",
       "      <td>-20.92246</td>\n",
       "      <td>1.12106</td>\n",
       "      <td>2995.47045</td>\n",
       "      <td>-0.019566</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>-67.13</td>\n",
       "      <td>-17.95</td>\n",
       "      <td>-64.464057</td>\n",
       "      <td>-19.817416</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>63.034120</td>\n",
       "      <td>55.66864</td>\n",
       "      <td>3609.80078</td>\n",
       "      <td>2827.69707</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.47972</td>\n",
       "      <td>-15.40119</td>\n",
       "      <td>22.47903</td>\n",
       "      <td>116.43995</td>\n",
       "      <td>-26.62963</td>\n",
       "      <td>-20.63831</td>\n",
       "      <td>12.88192</td>\n",
       "      <td>2995.47045</td>\n",
       "      <td>-0.224832</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-66.19</td>\n",
       "      <td>-20.63</td>\n",
       "      <td>-63.264040</td>\n",
       "      <td>-22.624688</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>65.666169</td>\n",
       "      <td>56.00428</td>\n",
       "      <td>3442.98002</td>\n",
       "      <td>2995.02556</td>\n",
       "      <td>...</td>\n",
       "      <td>35.35649</td>\n",
       "      <td>-18.54939</td>\n",
       "      <td>19.88665</td>\n",
       "      <td>124.00639</td>\n",
       "      <td>18.44845</td>\n",
       "      <td>-11.96498</td>\n",
       "      <td>8.46184</td>\n",
       "      <td>2828.75256</td>\n",
       "      <td>0.147687</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>-72.33</td>\n",
       "      <td>-14.03</td>\n",
       "      <td>-43.973999</td>\n",
       "      <td>-18.605999</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>46.965004</td>\n",
       "      <td>53.81943</td>\n",
       "      <td>53.81943</td>\n",
       "      <td>53.81943</td>\n",
       "      <td>...</td>\n",
       "      <td>-15.07089</td>\n",
       "      <td>-26.55968</td>\n",
       "      <td>55.56235</td>\n",
       "      <td>87.66024</td>\n",
       "      <td>-75.30167</td>\n",
       "      <td>-48.12510</td>\n",
       "      <td>40.66315</td>\n",
       "      <td>3432.78105</td>\n",
       "      <td>-0.709706</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>-71.36</td>\n",
       "      <td>-16.77</td>\n",
       "      <td>-63.446365</td>\n",
       "      <td>-20.873889</td>\n",
       "      <td>37.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>63.103498</td>\n",
       "      <td>54.00632</td>\n",
       "      <td>3833.23989</td>\n",
       "      <td>2616.14510</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.73216</td>\n",
       "      <td>-18.46188</td>\n",
       "      <td>20.28154</td>\n",
       "      <td>30.01335</td>\n",
       "      <td>-26.40449</td>\n",
       "      <td>-45.88406</td>\n",
       "      <td>41.33996</td>\n",
       "      <td>3214.72056</td>\n",
       "      <td>-0.721519</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>-75.42</td>\n",
       "      <td>-14.23</td>\n",
       "      <td>-42.093183</td>\n",
       "      <td>-16.444555</td>\n",
       "      <td>169.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>31.178453</td>\n",
       "      <td>55.06338</td>\n",
       "      <td>1763.02133</td>\n",
       "      <td>1763.02133</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.12849</td>\n",
       "      <td>-25.32762</td>\n",
       "      <td>-11.14276</td>\n",
       "      <td>48.87657</td>\n",
       "      <td>-6.27320</td>\n",
       "      <td>-36.76600</td>\n",
       "      <td>7.31381</td>\n",
       "      <td>3761.82099</td>\n",
       "      <td>-0.127650</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>-71.77</td>\n",
       "      <td>-14.46</td>\n",
       "      <td>-38.455216</td>\n",
       "      <td>-21.454514</td>\n",
       "      <td>147.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.810909</td>\n",
       "      <td>53.08568</td>\n",
       "      <td>378.68849</td>\n",
       "      <td>378.68849</td>\n",
       "      <td>...</td>\n",
       "      <td>-8.02954</td>\n",
       "      <td>15.55851</td>\n",
       "      <td>-1.69346</td>\n",
       "      <td>2.24631</td>\n",
       "      <td>-23.67182</td>\n",
       "      <td>-45.18213</td>\n",
       "      <td>84.57921</td>\n",
       "      <td>3378.69739</td>\n",
       "      <td>-1.476186</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>-71.26</td>\n",
       "      <td>-14.95</td>\n",
       "      <td>-65.424596</td>\n",
       "      <td>-18.803204</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66.512280</td>\n",
       "      <td>54.29476</td>\n",
       "      <td>3994.37798</td>\n",
       "      <td>2450.87623</td>\n",
       "      <td>...</td>\n",
       "      <td>-10.22916</td>\n",
       "      <td>-6.43554</td>\n",
       "      <td>29.13501</td>\n",
       "      <td>91.28271</td>\n",
       "      <td>-39.13317</td>\n",
       "      <td>-45.46711</td>\n",
       "      <td>23.20496</td>\n",
       "      <td>3378.69739</td>\n",
       "      <td>-0.405003</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>-72.35</td>\n",
       "      <td>-14.18</td>\n",
       "      <td>-43.988093</td>\n",
       "      <td>-18.756658</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>47.272459</td>\n",
       "      <td>53.81943</td>\n",
       "      <td>53.81943</td>\n",
       "      <td>53.81943</td>\n",
       "      <td>...</td>\n",
       "      <td>-15.07089</td>\n",
       "      <td>-26.55968</td>\n",
       "      <td>55.56235</td>\n",
       "      <td>87.66024</td>\n",
       "      <td>-75.30167</td>\n",
       "      <td>-48.12510</td>\n",
       "      <td>40.66315</td>\n",
       "      <td>3432.78105</td>\n",
       "      <td>-0.709706</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>-70.71</td>\n",
       "      <td>-17.05</td>\n",
       "      <td>-39.999078</td>\n",
       "      <td>-21.770647</td>\n",
       "      <td>96.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36.007148</td>\n",
       "      <td>54.08174</td>\n",
       "      <td>162.04490</td>\n",
       "      <td>162.04490</td>\n",
       "      <td>...</td>\n",
       "      <td>36.47226</td>\n",
       "      <td>-24.72799</td>\n",
       "      <td>28.69589</td>\n",
       "      <td>70.52321</td>\n",
       "      <td>-2.45706</td>\n",
       "      <td>-42.31875</td>\n",
       "      <td>1.99540</td>\n",
       "      <td>3160.06366</td>\n",
       "      <td>-0.034826</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>-70.70</td>\n",
       "      <td>-17.04</td>\n",
       "      <td>-36.875265</td>\n",
       "      <td>-18.309643</td>\n",
       "      <td>175.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22.559148</td>\n",
       "      <td>54.60965</td>\n",
       "      <td>1218.84018</td>\n",
       "      <td>1218.84018</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.35767</td>\n",
       "      <td>-26.33537</td>\n",
       "      <td>-11.75503</td>\n",
       "      <td>44.23328</td>\n",
       "      <td>-10.67498</td>\n",
       "      <td>-37.79588</td>\n",
       "      <td>13.56796</td>\n",
       "      <td>3160.06366</td>\n",
       "      <td>-0.236806</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>-78.32</td>\n",
       "      <td>-7.02</td>\n",
       "      <td>-43.242999</td>\n",
       "      <td>-6.841283</td>\n",
       "      <td>179.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49.611590</td>\n",
       "      <td>55.89641</td>\n",
       "      <td>2711.85305</td>\n",
       "      <td>1596.86159</td>\n",
       "      <td>...</td>\n",
       "      <td>13.32404</td>\n",
       "      <td>-17.25388</td>\n",
       "      <td>-18.84225</td>\n",
       "      <td>65.67124</td>\n",
       "      <td>7.99437</td>\n",
       "      <td>-16.94379</td>\n",
       "      <td>6.94065</td>\n",
       "      <td>4708.08568</td>\n",
       "      <td>0.121137</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>-75.72</td>\n",
       "      <td>-13.77</td>\n",
       "      <td>-64.757482</td>\n",
       "      <td>-19.539486</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.354944</td>\n",
       "      <td>58.46944</td>\n",
       "      <td>5341.43760</td>\n",
       "      <td>2034.25548</td>\n",
       "      <td>...</td>\n",
       "      <td>-42.53647</td>\n",
       "      <td>-14.06479</td>\n",
       "      <td>20.04088</td>\n",
       "      <td>32.87906</td>\n",
       "      <td>-69.20025</td>\n",
       "      <td>-45.08501</td>\n",
       "      <td>64.58624</td>\n",
       "      <td>3816.97543</td>\n",
       "      <td>-1.127243</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>-79.12</td>\n",
       "      <td>-6.36</td>\n",
       "      <td>-78.028544</td>\n",
       "      <td>-7.233651</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.223936</td>\n",
       "      <td>56.09074</td>\n",
       "      <td>5098.42994</td>\n",
       "      <td>1116.94233</td>\n",
       "      <td>...</td>\n",
       "      <td>-7.45933</td>\n",
       "      <td>-10.83602</td>\n",
       "      <td>19.18249</td>\n",
       "      <td>100.85991</td>\n",
       "      <td>-26.02532</td>\n",
       "      <td>-21.14447</td>\n",
       "      <td>14.46867</td>\n",
       "      <td>4764.10346</td>\n",
       "      <td>-0.252526</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>-78.58</td>\n",
       "      <td>-7.12</td>\n",
       "      <td>-54.564071</td>\n",
       "      <td>-10.564834</td>\n",
       "      <td>82.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>46.648170</td>\n",
       "      <td>56.03899</td>\n",
       "      <td>4197.66197</td>\n",
       "      <td>2420.33906</td>\n",
       "      <td>...</td>\n",
       "      <td>66.11676</td>\n",
       "      <td>-48.49003</td>\n",
       "      <td>25.75732</td>\n",
       "      <td>7.78757</td>\n",
       "      <td>7.08388</td>\n",
       "      <td>-18.11125</td>\n",
       "      <td>42.29089</td>\n",
       "      <td>4708.08568</td>\n",
       "      <td>0.738115</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>-72.99</td>\n",
       "      <td>-14.46</td>\n",
       "      <td>-42.501592</td>\n",
       "      <td>-19.314625</td>\n",
       "      <td>96.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>34.747511</td>\n",
       "      <td>53.95757</td>\n",
       "      <td>483.14517</td>\n",
       "      <td>483.14517</td>\n",
       "      <td>...</td>\n",
       "      <td>26.56462</td>\n",
       "      <td>-20.47556</td>\n",
       "      <td>31.77166</td>\n",
       "      <td>73.55263</td>\n",
       "      <td>-11.76329</td>\n",
       "      <td>-49.13269</td>\n",
       "      <td>9.08638</td>\n",
       "      <td>3432.78105</td>\n",
       "      <td>-0.158587</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>-73.13</td>\n",
       "      <td>-14.16</td>\n",
       "      <td>-35.160915</td>\n",
       "      <td>-19.965081</td>\n",
       "      <td>123.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22.253615</td>\n",
       "      <td>53.84601</td>\n",
       "      <td>107.62515</td>\n",
       "      <td>107.62515</td>\n",
       "      <td>...</td>\n",
       "      <td>-38.12518</td>\n",
       "      <td>18.16685</td>\n",
       "      <td>11.40468</td>\n",
       "      <td>-27.67412</td>\n",
       "      <td>-62.81134</td>\n",
       "      <td>-46.19560</td>\n",
       "      <td>66.22213</td>\n",
       "      <td>3596.62819</td>\n",
       "      <td>1.155794</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>-76.14</td>\n",
       "      <td>-12.98</td>\n",
       "      <td>-75.197205</td>\n",
       "      <td>-13.727852</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>41.334070</td>\n",
       "      <td>55.20179</td>\n",
       "      <td>4094.22610</td>\n",
       "      <td>2010.73060</td>\n",
       "      <td>...</td>\n",
       "      <td>-42.36006</td>\n",
       "      <td>-2.10172</td>\n",
       "      <td>21.74221</td>\n",
       "      <td>85.32352</td>\n",
       "      <td>-63.76019</td>\n",
       "      <td>-44.79865</td>\n",
       "      <td>36.76987</td>\n",
       "      <td>3872.17329</td>\n",
       "      <td>-0.641755</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>-77.77</td>\n",
       "      <td>-8.22</td>\n",
       "      <td>-48.726438</td>\n",
       "      <td>-13.155596</td>\n",
       "      <td>93.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>38.620709</td>\n",
       "      <td>55.55865</td>\n",
       "      <td>1200.29926</td>\n",
       "      <td>1200.29926</td>\n",
       "      <td>...</td>\n",
       "      <td>4.17427</td>\n",
       "      <td>-26.30695</td>\n",
       "      <td>26.28761</td>\n",
       "      <td>93.72629</td>\n",
       "      <td>-39.71580</td>\n",
       "      <td>-34.25660</td>\n",
       "      <td>22.96443</td>\n",
       "      <td>4484.40640</td>\n",
       "      <td>-0.400805</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>-78.32</td>\n",
       "      <td>-7.30</td>\n",
       "      <td>-67.977716</td>\n",
       "      <td>-13.022918</td>\n",
       "      <td>48.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>69.251599</td>\n",
       "      <td>60.28450</td>\n",
       "      <td>6235.12889</td>\n",
       "      <td>1139.07589</td>\n",
       "      <td>...</td>\n",
       "      <td>5.58162</td>\n",
       "      <td>-18.62962</td>\n",
       "      <td>26.52718</td>\n",
       "      <td>99.89145</td>\n",
       "      <td>-30.40923</td>\n",
       "      <td>-21.41626</td>\n",
       "      <td>16.93144</td>\n",
       "      <td>4652.07599</td>\n",
       "      <td>-0.295509</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>-78.36</td>\n",
       "      <td>-6.91</td>\n",
       "      <td>-65.683900</td>\n",
       "      <td>-11.386309</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>67.663673</td>\n",
       "      <td>59.81299</td>\n",
       "      <td>6244.18194</td>\n",
       "      <td>1062.26412</td>\n",
       "      <td>...</td>\n",
       "      <td>-60.08473</td>\n",
       "      <td>-58.82391</td>\n",
       "      <td>-17.61409</td>\n",
       "      <td>70.46503</td>\n",
       "      <td>-61.43628</td>\n",
       "      <td>-20.16371</td>\n",
       "      <td>41.08417</td>\n",
       "      <td>4708.08568</td>\n",
       "      <td>-0.717054</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>-69.66</td>\n",
       "      <td>-15.00</td>\n",
       "      <td>-31.613015</td>\n",
       "      <td>-20.565025</td>\n",
       "      <td>118.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.729140</td>\n",
       "      <td>52.90695</td>\n",
       "      <td>52.90695</td>\n",
       "      <td>52.90695</td>\n",
       "      <td>...</td>\n",
       "      <td>-22.94916</td>\n",
       "      <td>-19.59360</td>\n",
       "      <td>-5.81896</td>\n",
       "      <td>-91.24696</td>\n",
       "      <td>-72.70845</td>\n",
       "      <td>-57.63845</td>\n",
       "      <td>38.54894</td>\n",
       "      <td>3214.72056</td>\n",
       "      <td>0.672806</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>-78.00</td>\n",
       "      <td>-8.79</td>\n",
       "      <td>-40.622146</td>\n",
       "      <td>-15.257170</td>\n",
       "      <td>114.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51.957456</td>\n",
       "      <td>55.52943</td>\n",
       "      <td>1142.11551</td>\n",
       "      <td>1142.11551</td>\n",
       "      <td>...</td>\n",
       "      <td>-28.91285</td>\n",
       "      <td>-19.42203</td>\n",
       "      <td>-13.75269</td>\n",
       "      <td>-37.16355</td>\n",
       "      <td>-99.99890</td>\n",
       "      <td>-33.06479</td>\n",
       "      <td>69.61294</td>\n",
       "      <td>4428.55551</td>\n",
       "      <td>1.214975</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>-75.35</td>\n",
       "      <td>-13.93</td>\n",
       "      <td>-42.117166</td>\n",
       "      <td>-20.649809</td>\n",
       "      <td>147.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.849639</td>\n",
       "      <td>54.58950</td>\n",
       "      <td>756.22695</td>\n",
       "      <td>756.22695</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.49496</td>\n",
       "      <td>16.93548</td>\n",
       "      <td>-0.38227</td>\n",
       "      <td>8.84321</td>\n",
       "      <td>-23.03796</td>\n",
       "      <td>-39.74719</td>\n",
       "      <td>69.00050</td>\n",
       "      <td>3761.82099</td>\n",
       "      <td>-1.204286</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>-76.08</td>\n",
       "      <td>-11.48</td>\n",
       "      <td>-43.950095</td>\n",
       "      <td>-16.842393</td>\n",
       "      <td>101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36.355499</td>\n",
       "      <td>54.85460</td>\n",
       "      <td>1190.90698</td>\n",
       "      <td>1190.90698</td>\n",
       "      <td>...</td>\n",
       "      <td>40.29418</td>\n",
       "      <td>-31.96652</td>\n",
       "      <td>41.93348</td>\n",
       "      <td>71.76161</td>\n",
       "      <td>-29.57451</td>\n",
       "      <td>-38.50603</td>\n",
       "      <td>22.39762</td>\n",
       "      <td>4093.90633</td>\n",
       "      <td>-0.390912</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>-71.31</td>\n",
       "      <td>-14.98</td>\n",
       "      <td>-54.590235</td>\n",
       "      <td>-17.500740</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43.612641</td>\n",
       "      <td>54.73734</td>\n",
       "      <td>3099.49143</td>\n",
       "      <td>2441.70938</td>\n",
       "      <td>...</td>\n",
       "      <td>14.92243</td>\n",
       "      <td>-24.92012</td>\n",
       "      <td>14.00034</td>\n",
       "      <td>32.93287</td>\n",
       "      <td>-12.35373</td>\n",
       "      <td>-41.81436</td>\n",
       "      <td>20.56200</td>\n",
       "      <td>3378.69739</td>\n",
       "      <td>-0.358875</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>-70.62</td>\n",
       "      <td>-17.11</td>\n",
       "      <td>-69.653196</td>\n",
       "      <td>-17.852718</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48.213227</td>\n",
       "      <td>54.65641</td>\n",
       "      <td>3328.53949</td>\n",
       "      <td>2776.41720</td>\n",
       "      <td>...</td>\n",
       "      <td>-29.21665</td>\n",
       "      <td>-4.83442</td>\n",
       "      <td>21.27099</td>\n",
       "      <td>94.66201</td>\n",
       "      <td>-50.11097</td>\n",
       "      <td>-37.72833</td>\n",
       "      <td>27.89528</td>\n",
       "      <td>3160.06366</td>\n",
       "      <td>-0.486864</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>-79.31</td>\n",
       "      <td>-4.94</td>\n",
       "      <td>-45.733206</td>\n",
       "      <td>-10.589512</td>\n",
       "      <td>154.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48.474874</td>\n",
       "      <td>56.13205</td>\n",
       "      <td>2147.23928</td>\n",
       "      <td>1813.38033</td>\n",
       "      <td>...</td>\n",
       "      <td>49.09540</td>\n",
       "      <td>3.41154</td>\n",
       "      <td>-30.37766</td>\n",
       "      <td>39.38747</td>\n",
       "      <td>23.80904</td>\n",
       "      <td>12.23124</td>\n",
       "      <td>31.15223</td>\n",
       "      <td>5099.29243</td>\n",
       "      <td>0.543709</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>-78.67</td>\n",
       "      <td>-6.73</td>\n",
       "      <td>-70.657487</td>\n",
       "      <td>-11.057387</td>\n",
       "      <td>39.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62.727249</td>\n",
       "      <td>56.14919</td>\n",
       "      <td>5373.67650</td>\n",
       "      <td>1076.30110</td>\n",
       "      <td>...</td>\n",
       "      <td>13.21524</td>\n",
       "      <td>-25.08597</td>\n",
       "      <td>12.24246</td>\n",
       "      <td>60.45651</td>\n",
       "      <td>-7.46828</td>\n",
       "      <td>-22.30925</td>\n",
       "      <td>7.04216</td>\n",
       "      <td>4708.08568</td>\n",
       "      <td>-0.122909</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>-75.09</td>\n",
       "      <td>-13.69</td>\n",
       "      <td>-37.112536</td>\n",
       "      <td>-19.124363</td>\n",
       "      <td>121.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.740063</td>\n",
       "      <td>54.09642</td>\n",
       "      <td>269.79929</td>\n",
       "      <td>269.79929</td>\n",
       "      <td>...</td>\n",
       "      <td>-39.68330</td>\n",
       "      <td>11.56758</td>\n",
       "      <td>7.99788</td>\n",
       "      <td>-19.41449</td>\n",
       "      <td>-59.05957</td>\n",
       "      <td>-46.36908</td>\n",
       "      <td>71.80290</td>\n",
       "      <td>3761.82099</td>\n",
       "      <td>1.253197</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>-71.31</td>\n",
       "      <td>-14.91</td>\n",
       "      <td>-38.398992</td>\n",
       "      <td>-21.934657</td>\n",
       "      <td>151.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.739843</td>\n",
       "      <td>53.93117</td>\n",
       "      <td>323.86191</td>\n",
       "      <td>323.86191</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.42257</td>\n",
       "      <td>-17.25992</td>\n",
       "      <td>-22.78837</td>\n",
       "      <td>8.88338</td>\n",
       "      <td>-7.68381</td>\n",
       "      <td>-40.99490</td>\n",
       "      <td>40.85864</td>\n",
       "      <td>3378.69739</td>\n",
       "      <td>-0.713118</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>-70.61</td>\n",
       "      <td>-17.25</td>\n",
       "      <td>-37.243172</td>\n",
       "      <td>-24.160112</td>\n",
       "      <td>145.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.744395</td>\n",
       "      <td>53.94534</td>\n",
       "      <td>163.59542</td>\n",
       "      <td>163.59542</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.26253</td>\n",
       "      <td>14.87833</td>\n",
       "      <td>0.05195</td>\n",
       "      <td>2.36178</td>\n",
       "      <td>-23.78566</td>\n",
       "      <td>-38.97366</td>\n",
       "      <td>84.32944</td>\n",
       "      <td>3160.06366</td>\n",
       "      <td>-1.471826</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>-76.13</td>\n",
       "      <td>-11.60</td>\n",
       "      <td>-43.993914</td>\n",
       "      <td>-16.965040</td>\n",
       "      <td>101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.880790</td>\n",
       "      <td>54.85460</td>\n",
       "      <td>1190.90698</td>\n",
       "      <td>1190.90698</td>\n",
       "      <td>...</td>\n",
       "      <td>40.29418</td>\n",
       "      <td>-31.96652</td>\n",
       "      <td>41.93348</td>\n",
       "      <td>71.76161</td>\n",
       "      <td>-29.57451</td>\n",
       "      <td>-38.50603</td>\n",
       "      <td>22.39762</td>\n",
       "      <td>4093.90633</td>\n",
       "      <td>-0.390912</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>301 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     0 Present day longitude (degrees)  1 Present day latitude (degrees)  \\\n",
       "0                               -66.28                            -27.37   \n",
       "1                               -69.75                            -30.50   \n",
       "2                               -66.65                            -27.27   \n",
       "3                               -66.61                            -27.33   \n",
       "4                               -66.55                            -27.40   \n",
       "5                               -66.57                            -27.28   \n",
       "6                               -67.90                            -26.30   \n",
       "7                               -70.58                            -38.25   \n",
       "8                               -70.05                            -31.95   \n",
       "9                               -66.60                            -24.13   \n",
       "10                              -70.45                            -31.76   \n",
       "11                              -66.22                            -27.38   \n",
       "12                              -66.76                            -25.14   \n",
       "13                              -67.75                            -29.00   \n",
       "14                              -65.87                            -24.20   \n",
       "15                              -69.08                            -32.42   \n",
       "16                              -69.10                            -32.48   \n",
       "17                              -70.47                            -37.43   \n",
       "18                              -69.97                            -32.57   \n",
       "19                              -67.78                            -24.57   \n",
       "20                              -67.73                            -24.58   \n",
       "21                              -67.48                            -16.92   \n",
       "22                              -66.60                            -18.44   \n",
       "23                              -65.75                            -19.63   \n",
       "24                              -66.45                            -20.95   \n",
       "25                              -66.03                            -20.91   \n",
       "26                              -66.00                            -18.70   \n",
       "27                              -66.79                            -18.14   \n",
       "28                              -67.13                            -17.95   \n",
       "29                              -66.19                            -20.63   \n",
       "..                                 ...                               ...   \n",
       "271                             -72.33                            -14.03   \n",
       "272                             -71.36                            -16.77   \n",
       "273                             -75.42                            -14.23   \n",
       "274                             -71.77                            -14.46   \n",
       "275                             -71.26                            -14.95   \n",
       "276                             -72.35                            -14.18   \n",
       "277                             -70.71                            -17.05   \n",
       "278                             -70.70                            -17.04   \n",
       "279                             -78.32                             -7.02   \n",
       "280                             -75.72                            -13.77   \n",
       "281                             -79.12                             -6.36   \n",
       "282                             -78.58                             -7.12   \n",
       "283                             -72.99                            -14.46   \n",
       "284                             -73.13                            -14.16   \n",
       "285                             -76.14                            -12.98   \n",
       "286                             -77.77                             -8.22   \n",
       "287                             -78.32                             -7.30   \n",
       "288                             -78.36                             -6.91   \n",
       "289                             -69.66                            -15.00   \n",
       "290                             -78.00                             -8.79   \n",
       "291                             -75.35                            -13.93   \n",
       "292                             -76.08                            -11.48   \n",
       "293                             -71.31                            -14.98   \n",
       "294                             -70.62                            -17.11   \n",
       "295                             -79.31                             -4.94   \n",
       "296                             -78.67                             -6.73   \n",
       "297                             -75.09                            -13.69   \n",
       "298                             -71.31                            -14.91   \n",
       "299                             -70.61                            -17.25   \n",
       "300                             -76.13                            -11.60   \n",
       "\n",
       "     2 Reconstructed longitude (degrees)  3 Reconstructed latitude (degrees)  \\\n",
       "0                             -65.264812                          -28.103781   \n",
       "1                             -67.696759                          -31.970639   \n",
       "2                             -65.128689                          -28.374772   \n",
       "3                             -65.257928                          -28.311094   \n",
       "4                             -65.366917                          -28.257580   \n",
       "5                             -65.217784                          -28.260958   \n",
       "6                             -65.391160                          -28.036212   \n",
       "7                             -44.673534                          -42.077290   \n",
       "8                             -67.762375                          -33.560754   \n",
       "9                             -64.317484                          -25.721047   \n",
       "10                            -68.784462                          -33.002423   \n",
       "11                            -65.204374                          -28.113628   \n",
       "12                            -64.016998                          -27.003955   \n",
       "13                            -67.077600                          -29.490617   \n",
       "14                            -63.123395                          -26.056066   \n",
       "15                            -66.537432                          -34.163909   \n",
       "16                            -66.557288                          -34.224035   \n",
       "17                            -59.678626                          -42.444274   \n",
       "18                            -68.463093                          -33.685779   \n",
       "19                            -61.593566                          -28.340027   \n",
       "20                            -61.018469                          -28.503875   \n",
       "21                            -63.003008                          -19.875412   \n",
       "22                            -62.578351                          -21.113117   \n",
       "23                            -63.714471                          -21.080676   \n",
       "24                            -64.190695                          -22.540135   \n",
       "25                            -63.098522                          -22.903052   \n",
       "26                            -61.712000                          -21.495872   \n",
       "27                            -63.024231                          -20.686871   \n",
       "28                            -64.464057                          -19.817416   \n",
       "29                            -63.264040                          -22.624688   \n",
       "..                                   ...                                 ...   \n",
       "271                           -43.973999                          -18.605999   \n",
       "272                           -63.446365                          -20.873889   \n",
       "273                           -42.093183                          -16.444555   \n",
       "274                           -38.455216                          -21.454514   \n",
       "275                           -65.424596                          -18.803204   \n",
       "276                           -43.988093                          -18.756658   \n",
       "277                           -39.999078                          -21.770647   \n",
       "278                           -36.875265                          -18.309643   \n",
       "279                           -43.242999                           -6.841283   \n",
       "280                           -64.757482                          -19.539486   \n",
       "281                           -78.028544                           -7.233651   \n",
       "282                           -54.564071                          -10.564834   \n",
       "283                           -42.501592                          -19.314625   \n",
       "284                           -35.160915                          -19.965081   \n",
       "285                           -75.197205                          -13.727852   \n",
       "286                           -48.726438                          -13.155596   \n",
       "287                           -67.977716                          -13.022918   \n",
       "288                           -65.683900                          -11.386309   \n",
       "289                           -31.613015                          -20.565025   \n",
       "290                           -40.622146                          -15.257170   \n",
       "291                           -42.117166                          -20.649809   \n",
       "292                           -43.950095                          -16.842393   \n",
       "293                           -54.590235                          -17.500740   \n",
       "294                           -69.653196                          -17.852718   \n",
       "295                           -45.733206                          -10.589512   \n",
       "296                           -70.657487                          -11.057387   \n",
       "297                           -37.112536                          -19.124363   \n",
       "298                           -38.398992                          -21.934657   \n",
       "299                           -37.243172                          -24.160112   \n",
       "300                           -43.993914                          -16.965040   \n",
       "\n",
       "     4 Age (Ma)  5 Time before mineralisation (Myr)  6 Seafloor age (Myr)  \\\n",
       "0           6.0                                 0.0             48.189707   \n",
       "1          12.0                                 0.0             52.321162   \n",
       "2           9.0                                 0.0             53.506085   \n",
       "3           8.0                                 0.0             51.317135   \n",
       "4           7.0                                 0.0             49.340097   \n",
       "5           8.0                                 0.0             51.466451   \n",
       "6          14.0                                 0.0             59.705229   \n",
       "7          85.0                                 0.0             12.269256   \n",
       "8          13.0                                 0.0             52.536887   \n",
       "9          13.0                                 0.0             60.362977   \n",
       "10         10.0                                 0.0             45.120041   \n",
       "11          6.0                                 0.0             48.306817   \n",
       "12         15.0                                 0.0             62.129534   \n",
       "13          4.0                                 0.0             43.574875   \n",
       "14         15.0                                 0.0             63.266054   \n",
       "15         14.0                                 0.0             55.833021   \n",
       "16         14.0                                 0.0             55.698374   \n",
       "17         45.0                                 0.0             33.873716   \n",
       "18          9.0                                 0.0             42.654362   \n",
       "19         29.0                                 0.0             62.586817   \n",
       "20         31.0                                 0.0             60.707044   \n",
       "21         23.0                                 0.0             69.678543   \n",
       "22         21.0                                 0.0             70.534838   \n",
       "23         12.0                                 0.0             60.823598   \n",
       "24         13.0                                 0.0             61.020386   \n",
       "25         16.0                                 0.0             65.871092   \n",
       "26         22.0                                 0.0             70.013126   \n",
       "27         20.0                                 0.0             70.395841   \n",
       "28         15.0                                 0.0             63.034120   \n",
       "29         16.0                                 0.0             65.666169   \n",
       "..          ...                                 ...                   ...   \n",
       "271        90.0                                 0.0             46.965004   \n",
       "272        37.0                                 0.0             63.103498   \n",
       "273       169.0                                 0.0             31.178453   \n",
       "274       147.0                                 0.0             18.810909   \n",
       "275        29.0                                 0.0             66.512280   \n",
       "276        90.0                                 0.0             47.272459   \n",
       "277        96.0                                 0.0             36.007148   \n",
       "278       175.0                                 0.0             22.559148   \n",
       "279       179.0                                 0.0             49.611590   \n",
       "280        50.0                                 0.0             60.354944   \n",
       "281         7.0                                 0.0             30.223936   \n",
       "282        82.0                                 0.0             46.648170   \n",
       "283        96.0                                 0.0             34.747511   \n",
       "284       123.0                                 0.0             22.253615   \n",
       "285         6.0                                 0.0             41.334070   \n",
       "286        93.0                                 0.0             38.620709   \n",
       "287        48.0                                 0.0             69.251599   \n",
       "288        54.0                                 0.0             67.663673   \n",
       "289       118.0                                 0.0             24.729140   \n",
       "290       114.0                                 0.0             51.957456   \n",
       "291       147.0                                 0.0             21.849639   \n",
       "292       101.0                                 0.0             36.355499   \n",
       "293        67.0                                 0.0             43.612641   \n",
       "294         6.0                                 0.0             48.213227   \n",
       "295       154.0                                 0.0             48.474874   \n",
       "296        39.0                                 0.0             62.727249   \n",
       "297       121.0                                 0.0             30.740063   \n",
       "298       151.0                                 0.0             17.739843   \n",
       "299       145.0                                 0.0             11.744395   \n",
       "300       101.0                                 0.0             35.880790   \n",
       "\n",
       "     7 Segment length (km)  8 Slab length (km)  \\\n",
       "0                 56.08069          2436.30907   \n",
       "1                 56.09672          2490.68735   \n",
       "2                 55.77705          2823.54951   \n",
       "3                 55.90088          2656.71724   \n",
       "4                 56.09011          2547.29585   \n",
       "5                 55.90088          2656.71724   \n",
       "6                 56.14614          2937.75395   \n",
       "7                 55.39199          2151.81813   \n",
       "8                 56.09528          2322.50643   \n",
       "9                 56.15019          3218.30664   \n",
       "10                56.07589          2322.36788   \n",
       "11                56.08069          2436.30907   \n",
       "12                56.16073          3106.42087   \n",
       "13                55.58629          2102.41843   \n",
       "14                56.16512          3218.74892   \n",
       "15                56.10011          2266.50887   \n",
       "16                56.10011          2266.50887   \n",
       "17                59.02215          2898.37931   \n",
       "18                56.06216          2208.83713   \n",
       "19                56.27662          3166.34885   \n",
       "20                56.28771          3167.03056   \n",
       "21                54.87570          3669.27017   \n",
       "22                55.66454          3612.54939   \n",
       "23                55.50303          3553.42217   \n",
       "24                55.99733          3442.22422   \n",
       "25                56.00428          3442.98002   \n",
       "26                55.67032          3613.52796   \n",
       "27                55.65934          3611.66084   \n",
       "28                55.66864          3609.80078   \n",
       "29                56.00428          3442.98002   \n",
       "..                     ...                 ...   \n",
       "271               53.81943            53.81943   \n",
       "272               54.00632          3833.23989   \n",
       "273               55.06338          1763.02133   \n",
       "274               53.08568           378.68849   \n",
       "275               54.29476          3994.37798   \n",
       "276               53.81943            53.81943   \n",
       "277               54.08174           162.04490   \n",
       "278               54.60965          1218.84018   \n",
       "279               55.89641          2711.85305   \n",
       "280               58.46944          5341.43760   \n",
       "281               56.09074          5098.42994   \n",
       "282               56.03899          4197.66197   \n",
       "283               53.95757           483.14517   \n",
       "284               53.84601           107.62515   \n",
       "285               55.20179          4094.22610   \n",
       "286               55.55865          1200.29926   \n",
       "287               60.28450          6235.12889   \n",
       "288               59.81299          6244.18194   \n",
       "289               52.90695            52.90695   \n",
       "290               55.52943          1142.11551   \n",
       "291               54.58950           756.22695   \n",
       "292               54.85460          1190.90698   \n",
       "293               54.73734          3099.49143   \n",
       "294               54.65641          3328.53949   \n",
       "295               56.13205          2147.23928   \n",
       "296               56.14919          5373.67650   \n",
       "297               54.09642           269.79929   \n",
       "298               53.93117           323.86191   \n",
       "299               53.94534           163.59542   \n",
       "300               54.85460          1190.90698   \n",
       "\n",
       "     9 Distance to trench edge (km)                  ...                   \\\n",
       "0                        2436.30907                  ...                    \n",
       "1                        2490.68735                  ...                    \n",
       "2                        2823.54951                  ...                    \n",
       "3                        2656.71724                  ...                    \n",
       "4                        2547.29585                  ...                    \n",
       "5                        2656.71724                  ...                    \n",
       "6                        2937.75395                  ...                    \n",
       "7                        2151.81813                  ...                    \n",
       "8                        2322.50643                  ...                    \n",
       "9                        3218.30664                  ...                    \n",
       "10                       2322.36788                  ...                    \n",
       "11                       2436.30907                  ...                    \n",
       "12                       3106.42087                  ...                    \n",
       "13                       2102.41843                  ...                    \n",
       "14                       3218.74892                  ...                    \n",
       "15                       2266.50887                  ...                    \n",
       "16                       2266.50887                  ...                    \n",
       "17                       2898.37931                  ...                    \n",
       "18                       2208.83713                  ...                    \n",
       "19                       3166.34885                  ...                    \n",
       "20                       3167.03056                  ...                    \n",
       "21                       2439.17729                  ...                    \n",
       "22                       2605.14028                  ...                    \n",
       "23                       2882.78329                  ...                    \n",
       "24                       2994.38907                  ...                    \n",
       "25                       2995.02556                  ...                    \n",
       "26                       2493.41553                  ...                    \n",
       "27                       2716.87097                  ...                    \n",
       "28                       2827.69707                  ...                    \n",
       "29                       2995.02556                  ...                    \n",
       "..                              ...                  ...                    \n",
       "271                        53.81943                  ...                    \n",
       "272                      2616.14510                  ...                    \n",
       "273                      1763.02133                  ...                    \n",
       "274                       378.68849                  ...                    \n",
       "275                      2450.87623                  ...                    \n",
       "276                        53.81943                  ...                    \n",
       "277                       162.04490                  ...                    \n",
       "278                      1218.84018                  ...                    \n",
       "279                      1596.86159                  ...                    \n",
       "280                      2034.25548                  ...                    \n",
       "281                      1116.94233                  ...                    \n",
       "282                      2420.33906                  ...                    \n",
       "283                       483.14517                  ...                    \n",
       "284                       107.62515                  ...                    \n",
       "285                      2010.73060                  ...                    \n",
       "286                      1200.29926                  ...                    \n",
       "287                      1139.07589                  ...                    \n",
       "288                      1062.26412                  ...                    \n",
       "289                        52.90695                  ...                    \n",
       "290                      1142.11551                  ...                    \n",
       "291                       756.22695                  ...                    \n",
       "292                      1190.90698                  ...                    \n",
       "293                      2441.70938                  ...                    \n",
       "294                      2776.41720                  ...                    \n",
       "295                      1813.38033                  ...                    \n",
       "296                      1076.30110                  ...                    \n",
       "297                       269.79929                  ...                    \n",
       "298                       323.86191                  ...                    \n",
       "299                       163.59542                  ...                    \n",
       "300                      1190.90698                  ...                    \n",
       "\n",
       "     11 Subducting plate parallel velocity (km/Myr)  \\\n",
       "0                                          40.63020   \n",
       "1                                          39.60199   \n",
       "2                                          45.32425   \n",
       "3                                          43.13319   \n",
       "4                                          40.57322   \n",
       "5                                          43.13319   \n",
       "6                                          39.41149   \n",
       "7                                          54.37230   \n",
       "8                                          39.04452   \n",
       "9                                          40.05359   \n",
       "10                                         39.93994   \n",
       "11                                         40.63020   \n",
       "12                                         39.39617   \n",
       "13                                         49.33884   \n",
       "14                                         39.54822   \n",
       "15                                         38.68944   \n",
       "16                                         38.68944   \n",
       "17                                         47.91525   \n",
       "18                                         39.85835   \n",
       "19                                         61.34638   \n",
       "20                                         49.19831   \n",
       "21                                        -17.66982   \n",
       "22                                         -1.89420   \n",
       "23                                         19.89490   \n",
       "24                                         10.50674   \n",
       "25                                         35.35649   \n",
       "26                                         -3.51536   \n",
       "27                                         16.86624   \n",
       "28                                         -5.47972   \n",
       "29                                         35.35649   \n",
       "..                                              ...   \n",
       "271                                       -15.07089   \n",
       "272                                        -2.73216   \n",
       "273                                        -4.12849   \n",
       "274                                        -8.02954   \n",
       "275                                       -10.22916   \n",
       "276                                       -15.07089   \n",
       "277                                        36.47226   \n",
       "278                                        -6.35767   \n",
       "279                                        13.32404   \n",
       "280                                       -42.53647   \n",
       "281                                        -7.45933   \n",
       "282                                        66.11676   \n",
       "283                                        26.56462   \n",
       "284                                       -38.12518   \n",
       "285                                       -42.36006   \n",
       "286                                         4.17427   \n",
       "287                                         5.58162   \n",
       "288                                       -60.08473   \n",
       "289                                       -22.94916   \n",
       "290                                       -28.91285   \n",
       "291                                        -3.49496   \n",
       "292                                        40.29418   \n",
       "293                                        14.92243   \n",
       "294                                       -29.21665   \n",
       "295                                        49.09540   \n",
       "296                                        13.21524   \n",
       "297                                       -39.68330   \n",
       "298                                        -3.42257   \n",
       "299                                        -2.26253   \n",
       "300                                        40.29418   \n",
       "\n",
       "     12 Overriding plate normal velocity (km/Myr)  \\\n",
       "0                                       -17.43987   \n",
       "1                                       -22.80622   \n",
       "2                                       -18.08485   \n",
       "3                                       -17.78538   \n",
       "4                                       -17.43622   \n",
       "5                                       -17.78538   \n",
       "6                                       -23.26852   \n",
       "7                                       -64.95285   \n",
       "8                                       -22.55457   \n",
       "9                                       -23.55670   \n",
       "10                                      -16.74080   \n",
       "11                                      -17.43987   \n",
       "12                                      -23.42293   \n",
       "13                                      -18.97616   \n",
       "14                                      -23.52480   \n",
       "15                                      -22.46223   \n",
       "16                                      -22.46223   \n",
       "17                                      -23.22106   \n",
       "18                                      -16.61112   \n",
       "19                                      -26.29743   \n",
       "20                                      -25.66768   \n",
       "21                                      -15.04259   \n",
       "22                                      -18.20578   \n",
       "23                                      -20.45905   \n",
       "24                                      -18.64111   \n",
       "25                                      -18.54939   \n",
       "26                                      -18.22077   \n",
       "27                                      -15.21540   \n",
       "28                                      -15.40119   \n",
       "29                                      -18.54939   \n",
       "..                                            ...   \n",
       "271                                     -26.55968   \n",
       "272                                     -18.46188   \n",
       "273                                     -25.32762   \n",
       "274                                      15.55851   \n",
       "275                                      -6.43554   \n",
       "276                                     -26.55968   \n",
       "277                                     -24.72799   \n",
       "278                                     -26.33537   \n",
       "279                                     -17.25388   \n",
       "280                                     -14.06479   \n",
       "281                                     -10.83602   \n",
       "282                                     -48.49003   \n",
       "283                                     -20.47556   \n",
       "284                                      18.16685   \n",
       "285                                      -2.10172   \n",
       "286                                     -26.30695   \n",
       "287                                     -18.62962   \n",
       "288                                     -58.82391   \n",
       "289                                     -19.59360   \n",
       "290                                     -19.42203   \n",
       "291                                      16.93548   \n",
       "292                                     -31.96652   \n",
       "293                                     -24.92012   \n",
       "294                                      -4.83442   \n",
       "295                                       3.41154   \n",
       "296                                     -25.08597   \n",
       "297                                      11.56758   \n",
       "298                                     -17.25992   \n",
       "299                                      14.87833   \n",
       "300                                     -31.96652   \n",
       "\n",
       "     13 Overriding plate parallel velocity (km/Myr)  \\\n",
       "0                                          12.20271   \n",
       "1                                          13.40127   \n",
       "2                                          11.27500   \n",
       "3                                          11.72618   \n",
       "4                                          12.23778   \n",
       "5                                          11.72618   \n",
       "6                                          13.45193   \n",
       "7                                           1.30871   \n",
       "8                                          13.52329   \n",
       "9                                          13.30724   \n",
       "10                                         12.40009   \n",
       "11                                         12.20271   \n",
       "12                                         13.43823   \n",
       "13                                          9.25569   \n",
       "14                                         13.39993   \n",
       "15                                         13.59475   \n",
       "16                                         13.59475   \n",
       "17                                         13.76089   \n",
       "18                                         12.39474   \n",
       "19                                         13.51042   \n",
       "20                                          0.93397   \n",
       "21                                         25.69831   \n",
       "22                                         22.96976   \n",
       "23                                         17.94159   \n",
       "24                                         19.77099   \n",
       "25                                         19.88665   \n",
       "26                                         23.52746   \n",
       "27                                         22.64065   \n",
       "28                                         22.47903   \n",
       "29                                         19.88665   \n",
       "..                                              ...   \n",
       "271                                        55.56235   \n",
       "272                                        20.28154   \n",
       "273                                       -11.14276   \n",
       "274                                        -1.69346   \n",
       "275                                        29.13501   \n",
       "276                                        55.56235   \n",
       "277                                        28.69589   \n",
       "278                                       -11.75503   \n",
       "279                                       -18.84225   \n",
       "280                                        20.04088   \n",
       "281                                        19.18249   \n",
       "282                                        25.75732   \n",
       "283                                        31.77166   \n",
       "284                                        11.40468   \n",
       "285                                        21.74221   \n",
       "286                                        26.28761   \n",
       "287                                        26.52718   \n",
       "288                                       -17.61409   \n",
       "289                                        -5.81896   \n",
       "290                                       -13.75269   \n",
       "291                                        -0.38227   \n",
       "292                                        41.93348   \n",
       "293                                        14.00034   \n",
       "294                                        21.27099   \n",
       "295                                       -30.37766   \n",
       "296                                        12.24246   \n",
       "297                                         7.99788   \n",
       "298                                       -22.78837   \n",
       "299                                         0.05195   \n",
       "300                                        41.93348   \n",
       "\n",
       "     14 Convergence normal rate (km/Myr)  \\\n",
       "0                              102.31471   \n",
       "1                              115.35820   \n",
       "2                              100.24282   \n",
       "3                              101.21965   \n",
       "4                              102.25748   \n",
       "5                              101.21965   \n",
       "6                              116.11452   \n",
       "7                               78.24529   \n",
       "8                              115.01528   \n",
       "9                              116.18280   \n",
       "10                             100.67874   \n",
       "11                             102.31471   \n",
       "12                             116.24982   \n",
       "13                              83.52876   \n",
       "14                             116.27368   \n",
       "15                             114.88423   \n",
       "16                             114.88423   \n",
       "17                              46.73662   \n",
       "18                             100.48606   \n",
       "19                              80.21046   \n",
       "20                              79.70314   \n",
       "21                             123.85464   \n",
       "22                             127.97605   \n",
       "23                             119.42524   \n",
       "24                             119.25076   \n",
       "25                             124.00639   \n",
       "26                             128.19400   \n",
       "27                             124.51078   \n",
       "28                             116.43995   \n",
       "29                             124.00639   \n",
       "..                                   ...   \n",
       "271                             87.66024   \n",
       "272                             30.01335   \n",
       "273                             48.87657   \n",
       "274                              2.24631   \n",
       "275                             91.28271   \n",
       "276                             87.66024   \n",
       "277                             70.52321   \n",
       "278                             44.23328   \n",
       "279                             65.67124   \n",
       "280                             32.87906   \n",
       "281                            100.85991   \n",
       "282                              7.78757   \n",
       "283                             73.55263   \n",
       "284                            -27.67412   \n",
       "285                             85.32352   \n",
       "286                             93.72629   \n",
       "287                             99.89145   \n",
       "288                             70.46503   \n",
       "289                            -91.24696   \n",
       "290                            -37.16355   \n",
       "291                              8.84321   \n",
       "292                             71.76161   \n",
       "293                             32.93287   \n",
       "294                             94.66201   \n",
       "295                             39.38747   \n",
       "296                             60.45651   \n",
       "297                            -19.41449   \n",
       "298                              8.88338   \n",
       "299                              2.36178   \n",
       "300                             71.76161   \n",
       "\n",
       "     15 Convergence parallel rate (km/Myr)  16 Subduction polarity (degrees)  \\\n",
       "0                                 28.82518                           5.67505   \n",
       "1                                 27.39401                           5.78937   \n",
       "2                                 34.62444                           8.97218   \n",
       "3                                 31.92962                           7.42992   \n",
       "4                                 28.80235                           5.65657   \n",
       "5                                 31.92962                           7.42992   \n",
       "6                                 27.28535                           5.46709   \n",
       "7                                 41.27280                          15.23262   \n",
       "8                                 26.79653                           5.64144   \n",
       "9                                 27.99456                           5.64018   \n",
       "10                                28.22672                           5.74423   \n",
       "11                                28.82518                           5.67505   \n",
       "12                                27.35698                           5.48309   \n",
       "13                                40.42652                          14.89147   \n",
       "14                                27.54669                           5.52920   \n",
       "15                                26.44916                           5.55528   \n",
       "16                                26.44916                           5.55528   \n",
       "17                                16.26397                          19.13779   \n",
       "18                                28.08351                           5.71419   \n",
       "19                                42.83765                           4.55219   \n",
       "20                                42.80777                           4.35778   \n",
       "21                               -42.57782                         -28.38757   \n",
       "22                               -23.93471                         -20.98566   \n",
       "23                                 3.14439                          -6.44167   \n",
       "24                                -8.00946                         -11.80177   \n",
       "25                                18.44845                         -11.96498   \n",
       "26                               -26.40642                         -21.05913   \n",
       "27                                -2.43651                         -20.92246   \n",
       "28                               -26.62963                         -20.63831   \n",
       "29                                18.44845                         -11.96498   \n",
       "..                                     ...                               ...   \n",
       "271                              -75.30167                         -48.12510   \n",
       "272                              -26.40449                         -45.88406   \n",
       "273                               -6.27320                         -36.76600   \n",
       "274                              -23.67182                         -45.18213   \n",
       "275                              -39.13317                         -45.46711   \n",
       "276                              -75.30167                         -48.12510   \n",
       "277                               -2.45706                         -42.31875   \n",
       "278                              -10.67498                         -37.79588   \n",
       "279                                7.99437                         -16.94379   \n",
       "280                              -69.20025                         -45.08501   \n",
       "281                              -26.02532                         -21.14447   \n",
       "282                                7.08388                         -18.11125   \n",
       "283                              -11.76329                         -49.13269   \n",
       "284                              -62.81134                         -46.19560   \n",
       "285                              -63.76019                         -44.79865   \n",
       "286                              -39.71580                         -34.25660   \n",
       "287                              -30.40923                         -21.41626   \n",
       "288                              -61.43628                         -20.16371   \n",
       "289                              -72.70845                         -57.63845   \n",
       "290                              -99.99890                         -33.06479   \n",
       "291                              -23.03796                         -39.74719   \n",
       "292                              -29.57451                         -38.50603   \n",
       "293                              -12.35373                         -41.81436   \n",
       "294                              -50.11097                         -37.72833   \n",
       "295                               23.80904                          12.23124   \n",
       "296                               -7.46828                         -22.30925   \n",
       "297                              -59.05957                         -46.36908   \n",
       "298                               -7.68381                         -40.99490   \n",
       "299                              -23.78566                         -38.97366   \n",
       "300                              -29.57451                         -38.50603   \n",
       "\n",
       "     17 Subduction obliquity (degrees)  18 Distance along margin (km)  \\\n",
       "0                             15.73415                     2269.19769   \n",
       "1                             13.35854                     1823.34107   \n",
       "2                             19.05520                     2269.19769   \n",
       "3                             17.50782                     2269.19769   \n",
       "4                             15.73067                     2269.19769   \n",
       "5                             17.50782                     2269.19769   \n",
       "6                             13.22382                     2325.21126   \n",
       "7                             27.81074                     1051.14453   \n",
       "8                             13.11495                     1655.41651   \n",
       "9                             13.54734                     2549.28917   \n",
       "10                            15.66160                     1711.38826   \n",
       "11                            15.73415                     2269.19769   \n",
       "12                            13.24243                     2437.24556   \n",
       "13                            25.82620                     2101.98857   \n",
       "14                            13.32835                     2605.31534   \n",
       "15                            12.96498                     1655.41651   \n",
       "16                            12.96498                     1599.44790   \n",
       "17                            19.18749                     1160.83787   \n",
       "18                            15.61444                     1599.44790   \n",
       "19                            28.10514                     2493.26622   \n",
       "20                            28.23981                     2493.26622   \n",
       "21                            18.97156                     3050.40547   \n",
       "22                            10.59336                     2995.47045   \n",
       "23                             1.50821                     2939.82516   \n",
       "24                             3.84249                     2772.84261   \n",
       "25                             8.46184                     2772.84261   \n",
       "26                            11.63944                     2939.82516   \n",
       "27                             1.12106                     2995.47045   \n",
       "28                            12.88192                     2995.47045   \n",
       "29                             8.46184                     2828.75256   \n",
       "..                                 ...                            ...   \n",
       "271                           40.66315                     3432.78105   \n",
       "272                           41.33996                     3214.72056   \n",
       "273                            7.31381                     3761.82099   \n",
       "274                           84.57921                     3378.69739   \n",
       "275                           23.20496                     3378.69739   \n",
       "276                           40.66315                     3432.78105   \n",
       "277                            1.99540                     3160.06366   \n",
       "278                           13.56796                     3160.06366   \n",
       "279                            6.94065                     4708.08568   \n",
       "280                           64.58624                     3816.97543   \n",
       "281                           14.46867                     4764.10346   \n",
       "282                           42.29089                     4708.08568   \n",
       "283                            9.08638                     3432.78105   \n",
       "284                           66.22213                     3596.62819   \n",
       "285                           36.76987                     3872.17329   \n",
       "286                           22.96443                     4484.40640   \n",
       "287                           16.93144                     4652.07599   \n",
       "288                           41.08417                     4708.08568   \n",
       "289                           38.54894                     3214.72056   \n",
       "290                           69.61294                     4428.55551   \n",
       "291                           69.00050                     3761.82099   \n",
       "292                           22.39762                     4093.90633   \n",
       "293                           20.56200                     3378.69739   \n",
       "294                           27.89528                     3160.06366   \n",
       "295                           31.15223                     5099.29243   \n",
       "296                            7.04216                     4708.08568   \n",
       "297                           71.80290                     3761.82099   \n",
       "298                           40.85864                     3378.69739   \n",
       "299                           84.32944                     3160.06366   \n",
       "300                           22.39762                     4093.90633   \n",
       "\n",
       "     19 Subduction obliquity signed (radians)  \\\n",
       "0                                    0.274613   \n",
       "1                                    0.233151   \n",
       "2                                    0.332576   \n",
       "3                                    0.305569   \n",
       "4                                    0.274552   \n",
       "5                                    0.305569   \n",
       "6                                    0.230799   \n",
       "7                                    0.485389   \n",
       "8                                    0.228899   \n",
       "9                                    0.236446   \n",
       "10                                   0.273346   \n",
       "11                                   0.274613   \n",
       "12                                   0.231124   \n",
       "13                                   0.450752   \n",
       "14                                   0.232624   \n",
       "15                                   0.226282   \n",
       "16                                   0.226282   \n",
       "17                                   0.334885   \n",
       "18                                   0.272523   \n",
       "19                                   0.490527   \n",
       "20                                   0.492878   \n",
       "21                                  -0.331116   \n",
       "22                                  -0.184889   \n",
       "23                                   0.026323   \n",
       "24                                  -0.067064   \n",
       "25                                   0.147687   \n",
       "26                                  -0.203147   \n",
       "27                                  -0.019566   \n",
       "28                                  -0.224832   \n",
       "29                                   0.147687   \n",
       "..                                        ...   \n",
       "271                                 -0.709706   \n",
       "272                                 -0.721519   \n",
       "273                                 -0.127650   \n",
       "274                                 -1.476186   \n",
       "275                                 -0.405003   \n",
       "276                                 -0.709706   \n",
       "277                                 -0.034826   \n",
       "278                                 -0.236806   \n",
       "279                                  0.121137   \n",
       "280                                 -1.127243   \n",
       "281                                 -0.252526   \n",
       "282                                  0.738115   \n",
       "283                                 -0.158587   \n",
       "284                                  1.155794   \n",
       "285                                 -0.641755   \n",
       "286                                 -0.400805   \n",
       "287                                 -0.295509   \n",
       "288                                 -0.717054   \n",
       "289                                  0.672806   \n",
       "290                                  1.214975   \n",
       "291                                 -1.204286   \n",
       "292                                 -0.390912   \n",
       "293                                 -0.358875   \n",
       "294                                 -0.486864   \n",
       "295                                  0.543709   \n",
       "296                                 -0.122909   \n",
       "297                                  1.253197   \n",
       "298                                 -0.713118   \n",
       "299                                 -1.471826   \n",
       "300                                 -0.390912   \n",
       "\n",
       "     20 Ore Deposits Binary Flag (1 or 0)  \n",
       "0                                     1.0  \n",
       "1                                     1.0  \n",
       "2                                     1.0  \n",
       "3                                     1.0  \n",
       "4                                     1.0  \n",
       "5                                     1.0  \n",
       "6                                     1.0  \n",
       "7                                     1.0  \n",
       "8                                     1.0  \n",
       "9                                     1.0  \n",
       "10                                    1.0  \n",
       "11                                    1.0  \n",
       "12                                    1.0  \n",
       "13                                    1.0  \n",
       "14                                    1.0  \n",
       "15                                    1.0  \n",
       "16                                    1.0  \n",
       "17                                    1.0  \n",
       "18                                    1.0  \n",
       "19                                    1.0  \n",
       "20                                    1.0  \n",
       "21                                    1.0  \n",
       "22                                    1.0  \n",
       "23                                    1.0  \n",
       "24                                    1.0  \n",
       "25                                    1.0  \n",
       "26                                    1.0  \n",
       "27                                    1.0  \n",
       "28                                    1.0  \n",
       "29                                    1.0  \n",
       "..                                    ...  \n",
       "271                                   0.0  \n",
       "272                                   0.0  \n",
       "273                                   0.0  \n",
       "274                                   0.0  \n",
       "275                                   0.0  \n",
       "276                                   0.0  \n",
       "277                                   0.0  \n",
       "278                                   0.0  \n",
       "279                                   0.0  \n",
       "280                                   0.0  \n",
       "281                                   0.0  \n",
       "282                                   0.0  \n",
       "283                                   0.0  \n",
       "284                                   0.0  \n",
       "285                                   0.0  \n",
       "286                                   0.0  \n",
       "287                                   0.0  \n",
       "288                                   0.0  \n",
       "289                                   0.0  \n",
       "290                                   0.0  \n",
       "291                                   0.0  \n",
       "292                                   0.0  \n",
       "293                                   0.0  \n",
       "294                                   0.0  \n",
       "295                                   0.0  \n",
       "296                                   0.0  \n",
       "297                                   0.0  \n",
       "298                                   0.0  \n",
       "299                                   0.0  \n",
       "300                                   0.0  \n",
       "\n",
       "[301 rows x 21 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Print out the dataset so we can see what it looks like\n",
    "ml_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are 21 columns (python (usually) counts from 0) representing different parameters. Some of these parameters may be useful for us. Some are not. The final column contains a binary flag representing whether there is a known porphyry copper deposit at that location or not. The \"non-deposits\" are required to train our Machine Learning classifier what a porphyry deposit looks like, and also, what a porphyry deposit doesn't look like!\n",
    "\n",
    "### Now let's perform our machine learning binary classification."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Shape of ML data array: ', (301, 21))\n",
      "('Positive (deposits) examples: ', (147, 21))\n",
      "('Negative (non-deposits) examples: ', (154, 21))\n"
     ]
    }
   ],
   "source": [
    "#Change data format to numpy array for easy manipulation\n",
    "ml_data_np=ml_data.values\n",
    "\n",
    "#Set the indices of the parameters (features) to include in the ML\n",
    "params=[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20]\n",
    "# Alternatively try any 4 features you'd like to include!\n",
    "#params=[6,9,14,17] \n",
    "\n",
    "\n",
    "#Save the number of parameters we have chosen\n",
    "datalength=len(params)\n",
    "\n",
    "#Normalise the data for Machine Learning\n",
    "ml_data_norm=preprocessing.scale(ml_data_np[:,params])\n",
    "\n",
    "#Create a 'feature vector' and a 'target classification vector'\n",
    "features=ml_data_norm\n",
    "targets=ml_data_np[:,20]\n",
    "\n",
    "#Print out some info about our final dataset\n",
    "print(\"Shape of ML data array: \", ml_data_norm.shape)\n",
    "print(\"Positive (deposits) examples: \",np.shape(ml_data_np[ml_data_np[:,20]==1,:]))\n",
    "print(\"Negative (non-deposits) examples: \",np.shape(ml_data_np[ml_data_np[:,20]==0,:]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Make the classifiers\n",
      "Random Forest...\n",
      "Done RF\n",
      "('RF Scores: ', array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]))\n",
      "('SCORE Mean: 1.00', 'STD: 0.00', '\\n')\n",
      "Targets (expected result):\n",
      "[1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.\n",
      " 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.\n",
      " 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.\n",
      " 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.\n",
      " 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.\n",
      " 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.\n",
      " 1. 1. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
      " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
      " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
      " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
      " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
      " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
      " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
      "Prediction (actual result):\n",
      "[1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.\n",
      " 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.\n",
      " 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.\n",
      " 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.\n",
      " 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.\n",
      " 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.\n",
      " 1. 1. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
      " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
      " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
      " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
      " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
      " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
      " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n"
     ]
    }
   ],
   "source": [
    "print('Make the classifiers')\n",
    "\n",
    "print('Random Forest...')\n",
    "#create and train the random forest\n",
    "#multi-core CPUs can use: rf = RandomForestClassifier(n_estimators=100, n_jobs=2)\n",
    "#n_estimators use between 64-128 doi: 10.1007/978-3-642-31537-4_13\n",
    "rf = RandomForestClassifier(n_estimators=128, n_jobs=1,class_weight=None)\n",
    "rf.fit(features,targets)\n",
    "print(\"Done RF\")\n",
    "\n",
    "scores = cross_val_score(rf, features,targets, cv=10)\n",
    "print(\"RF Scores: \",scores)\n",
    "print(\"SCORE Mean: %.2f\" % np.mean(scores), \"STD: %.2f\" % np.std(scores), \"\\n\")\n",
    "\n",
    "print(\"Targets (expected result):\")\n",
    "print(targets)\n",
    "\n",
    "print(\"Prediction (actual result):\")\n",
    "print(rf.predict(features))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Importance \t Feature\n",
      "0.014 \t\t 0 Present day longitude (degrees)\n",
      "0.013 \t\t 1 Present day latitude (degrees)\n",
      "0.049 \t\t 2 Reconstructed longitude (degrees)\n",
      "0.014 \t\t 3 Reconstructed latitude (degrees)\n",
      "0.054 \t\t 4 Age (Ma)\n",
      "0.000 \t\t 5 Time before mineralisation (Myr)\n",
      "0.040 \t\t 6 Seafloor age (Myr)\n",
      "0.018 \t\t 7 Segment length (km)\n",
      "0.025 \t\t 8 Slab length (km)\n",
      "0.032 \t\t 9 Distance to trench edge (km)\n",
      "0.022 \t\t 10 Subducting plate normal velocity (km/Myr)\n",
      "0.019 \t\t 11 Subducting plate parallel velocity (km/Myr)\n",
      "0.027 \t\t 12 Overriding plate normal velocity (km/Myr)\n",
      "0.022 \t\t 13 Overriding plate parallel velocity (km/Myr)\n",
      "0.019 \t\t 14 Convergence normal rate (km/Myr)\n",
      "0.013 \t\t 15 Convergence parallel rate (km/Myr)\n",
      "0.016 \t\t 16 Subduction polarity (degrees)\n",
      "0.031 \t\t 17 Subduction obliquity (degrees)\n",
      "0.012 \t\t 18 Distance along margin (km)\n",
      "0.015 \t\t 19 Subduction obliquity signed (radians)\n",
      "0.546 \t\t 20 Ore Deposits Binary Flag (1 or 0)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fec406e1710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Make a list of labels for our chosen features\n",
    "paramColumns=np.array(ml_data.columns)\n",
    "paramLabels=paramColumns[params].tolist()\n",
    "\n",
    "#Create a new figure\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "#Plot the bar graph\n",
    "rects=ax.bar(np.arange(0, datalength, step=1),rf.feature_importances_)\n",
    "\n",
    "#Label the axes\n",
    "ax.set_xticks(np.arange(0, datalength, step=1))\n",
    "ax.set_xticklabels(paramLabels,rotation=90)\n",
    "ax.set_ylabel('Feature Importance')\n",
    "\n",
    "#Print the feature importance to compare with plot\n",
    "np.set_printoptions(precision=3,suppress=True)\n",
    "print(\"Importance \\t Feature\")\n",
    "for i,label in enumerate(paramLabels):\n",
    "    print(\"%1.3f \\t\\t %s\" % (rf.feature_importances_[i],label))\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now if we can measure the tectonomagmatic properties at some point. Based on our trained classifer we can predict a probability that porphyry copper deposits have formed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RF...\n",
      "Done RF\n"
     ]
    }
   ],
   "source": [
    "#Apply the trained ML to our gridded data to determine the probabilities at each of the points\n",
    "print('RF...')\n",
    "pRF=np.array(rf.predict_proba(features))\n",
    "print(\"Done RF\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Maps!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "OrderedDict([('lon', <scipy.io.netcdf.netcdf_variable at 0x7fec3cd7c190>),\n",
       "             ('lat', <scipy.io.netcdf.netcdf_variable at 0x7fec406d7150>),\n",
       "             ('z', <scipy.io.netcdf.netcdf_variable at 0x7fec3cd9fc90>)])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filename=\"../data/EarthByte_Zahirovic_etal_2016_ESR_r888_AgeGrid-0.nc\"\n",
    "data = scipy.io.netcdf.netcdf_file(filename,'r')\n",
    "data.variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/dist-packages/scipy/io/netcdf.py:317: RuntimeWarning: Cannot close a netcdf_file opened with mmap=True, when netcdf_variables or arrays referring to its data still exist. All data arrays obtained from such files refer directly to data on disk, and must be copied before the file can be cleanly closed. (See netcdf_file docstring for more information on mmap.)\n",
      "  ), category=RuntimeWarning)\n"
     ]
    }
   ],
   "source": [
    "varX=data.variables['lon'][:]\n",
    "varY=data.variables['lat'][:]\n",
    "varZ=np.array(data.variables['z'][:])\n",
    "data.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'colormap_age' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-11-94fa21453eab>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;31m#Create a colormap from a predefined function\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mage_cmap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolormap_age\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0;31m#Put down the main dataset\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'colormap_age' is not defined"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fec3cd1f450>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Make a figure object\n",
    "plt.figure()\n",
    "\n",
    "#Get the axes of the current figure, for manipulation\n",
    "ax = plt.gca()\n",
    "\n",
    "#Create a colormap from a predefined function\n",
    "age_cmap=colormap_age()\n",
    "\n",
    "#Put down the main dataset\n",
    "im=ax.imshow(varZ,vmin=0,vmax=200,extent=[0,360,-90,90],origin='lower',aspect=1,cmap=age_cmap)\n",
    "\n",
    "#Make a colorbar\n",
    "cbar=plt.colorbar(im,fraction=0.025,pad=0.05,ticks=[0, 150],extend='max')\n",
    "cbar.set_label('Age (Ma)', rotation=0)\n",
    "\n",
    "#Clean up the default axis ticks\n",
    "plt.yticks([-90,-45,0,45,90])\n",
    "plt.xticks([0,90,180,270,360])\n",
    "\n",
    "#Put labels on the figure\n",
    "ax.set_xlabel('Longitude')\n",
    "ax.set_ylabel('Latitude')\n",
    "\n",
    "#Put a title on it\n",
    "plt.title(\"Global Seafloor Age Grid \\n (Zahirovic et al. 2016)\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### For loops plotting shapefiles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'readTopologyPlatepolygonFile' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-12-26a781502d9a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m#Load in plate polygons for plotting\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mtopologyFile\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'../data/topology_platepolygons_0.00Ma.shp'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0;34m[\u001b[0m\u001b[0mrecs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mshapes\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mfields\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mNshp\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mreadTopologyPlatepolygonFile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtopologyFile\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnshp\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mNshp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0;31m#if nshp!=35 and nshp!=36 and nshp!=23:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'readTopologyPlatepolygonFile' is not defined"
     ]
    }
   ],
   "source": [
    "#Load in plate polygons for plotting\n",
    "topologyFile='../data/topology_platepolygons_0.00Ma.shp'\n",
    "[recs,shapes,fields,Nshp]=readTopologyPlatepolygonFile(topologyFile)\n",
    "for i, nshp in enumerate(range(Nshp)):\n",
    "    #if nshp!=35 and nshp!=36 and nshp!=23:\n",
    "    #These are the plates that cross the dateline and cause \n",
    "        #banding errors\n",
    "        polygonShape=shapes[nshp].points\n",
    "        poly=np.array(polygonShape)\n",
    "        plt.plot(poly[:,0], poly[:,1], c='k',zorder=1)\n",
    "        \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "OrderedDict([('X', <scipy.io.netcdf.netcdf_variable at 0x7fec3cd4f0d0>),\n",
       "             ('Y', <scipy.io.netcdf.netcdf_variable at 0x7fec3cd4f450>),\n",
       "             ('elev', <scipy.io.netcdf.netcdf_variable at 0x7fec3cd4f590>)])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filename=\"../data/topodata.nc\"\n",
    "data = scipy.io.netcdf.netcdf_file(filename,'r')\n",
    "\n",
    "data.variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "topoX=data.variables['X'][:]\n",
    "topoY=data.variables['Y'][:]\n",
    "topoZ=np.array(data.variables['elev'][:])\n",
    "data.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Make a prettier map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'ccrs' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-15-d2511d04c7e9>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m16\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m12\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mdpi\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m150\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprojection\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mccrs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPlateCarree\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_extent\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m85\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m30\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m55\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m10\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcoastlines\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'50m'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlinewidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.8\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'ccrs' is not defined"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fec3cc1f0d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "###Set up the figure\n",
    "fig = plt.figure(figsize=(16,12),dpi=150)\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([-85, -30, -55, 10])\n",
    "ax.coastlines('50m', linewidth=0.8)\n",
    "\n",
    "###Add the map grid lines and format them\n",
    "gl = ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=True,\n",
    "                  linewidth=2, color='gray', alpha=0.5, linestyle='-')\n",
    "\n",
    "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
    "import matplotlib.ticker as mticker\n",
    "from matplotlib import colorbar, colors\n",
    "\n",
    "gl.xlabels_top = False\n",
    "gl.ylabels_left = True\n",
    "gl.ylabels_right = False\n",
    "gl.xlines = False\n",
    "gl.ylines = False\n",
    "gl.xlocator = mticker.FixedLocator([-75,-60, -45,-30])\n",
    "gl.ylocator = mticker.FixedLocator([-60, -45, -30, -15, 0,15])\n",
    "ax.set_xticks([-75,-60, -45,-30])\n",
    "ax.set_xticklabels([''])\n",
    "ax.set_yticks([-60, -45, -30, -15, 0,15])\n",
    "ax.set_yticklabels([''])\n",
    "gl.xformatter = LONGITUDE_FORMATTER\n",
    "gl.yformatter = LATITUDE_FORMATTER\n",
    "#gl.xlabel_style = {'size': 15, 'color': 'gray'}\n",
    "#gl.xlabel_style = {'color': 'black', 'weight': 'normal'}\n",
    "\n",
    "print(\"Made base map\")\n",
    "\n",
    "###Plot a topography underlay image\n",
    "#Make a lat lon grid to fit the topo grid\n",
    "lons, lats = np.meshgrid(topoX,topoY)\n",
    "im1=ax.pcolormesh(lons,lats,topoZ, shading=\"flat\",cmap=plt.cm.gist_earth,transform=ccrs.PlateCarree())              \n",
    "cbar=plt.colorbar(im1, ax=ax, orientation=\"horizontal\", pad=0.02, fraction=0.05, shrink=0.2,extend='both')\n",
    "cbar.set_label('Topography (m)')\n",
    "\n",
    "print(\"Added topo\")\n",
    "\n",
    "###Plot shapefile polygon outlines\n",
    "#Load in plate polygons for plotting\n",
    "topologyFile='../data/topology_platepolygons_0.00Ma.shp'\n",
    "[recs,shapes,fields,Nshp]=readTopologyPlatepolygonFile(topologyFile)\n",
    "for i, nshp in enumerate(range(Nshp)):\n",
    "    if nshp!=35 and nshp!=36 and nshp!=23:\n",
    "    #These are the plates that cross the dateline and cause \n",
    "        #banding errors\n",
    "        polygonShape=shapes[nshp].points\n",
    "        poly=np.array(polygonShape)\n",
    "        xh=poly[:,0]\n",
    "        yh=poly[:,1]\n",
    "        ax.plot(xh, yh, c='w',zorder=1)\n",
    "\n",
    "print(\"Added shapes\")\n",
    "        \n",
    "###Plot the ore deposit probability\n",
    "xh = ml_data_np[ml_data_np[:,-1]==1,0]\n",
    "yh= ml_data_np[ml_data_np[:,-1]==1,1]\n",
    "l2 = ax.scatter(xh, yh, 500, marker='.',c=pRF[:147,1],cmap=plt.cm.copper,zorder=3,transform=ccrs.PlateCarree(),vmin=0,vmax=1)\n",
    "#l2 = pmap.scatter(xh, yh, 20, marker='.',edgecolor='dimgrey',linewidth=0.5,c=pRF[:147,1],cmap=plt.cm.copper,zorder=3)\n",
    "cbar=fig.colorbar(l2, ax=ax, orientation=\"horizontal\", pad=0.05, fraction=0.05, shrink=0.2,ticks=[0,0.5,1.0])\n",
    "cbar.set_clim(-0.1, 1.1)\n",
    "cbar.set_label('Prediction Probability (%)')\n",
    "\n",
    "###Plot the ore deposit Age\n",
    "xh=ml_data_np[ml_data_np[:,-1]==1,0]\n",
    "yh = ml_data_np[ml_data_np[:,-1]==1,1]\n",
    "l2 = ax.scatter(xh, yh, 50, marker='.',c=ml_data_np[ml_data_np[:,-1]==1,4],cmap=plt.cm.hsv,zorder=3)\n",
    "cbar=fig.colorbar(l2, ax=ax, orientation=\"horizontal\", pad=0.1, fraction=0.05, shrink=0.2,extend='max',ticks=[0,50,100,150])\n",
    "cbar.set_clim(0, 170)\n",
    "cbar.set_label('Age of Deposit (Ma)')\n",
    "\n",
    "print(\"Added deposit probability\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exercise\n",
    "Do the same analysis but using a different Machine Learning algorith for your classification. You can use this as a guide for picking a good classification algorithm https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html. \n",
    "Additionaly, determine which parameters are best for learning. For robust results ***learn*** which parameters are most important! \n",
    "Present your results on a map, and compare it with the Random Forrest method. Explain why the parameters you have chosen are probably the most important. Explain why there are differences in the ML algorithms."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Datasets"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "\n",
    "Topography/Bathymetry\n",
    "WORLDBATH: ETOPO5 5x5 minute Navy bathymetry. http://iridl.ldeo.columbia.edu/SOURCES/.NOAA/.NGDC/.ETOPO5/\n",
    "    \n",
    "ML dataset. \n",
    "Expanded in Butterworth et al 2016 from a compilation made by by Bertrand et al 2016. https://doi.org/10.1002/2016TC004289\n",
    "\n",
    "Shape files polygons: \n",
    "GPlates2.0. https://www.gplates.org/\n",
    "\n",
    "Age Grid\n",
    "Zahirovic etal 2016. ftp://ftp.earthbyte.org/Data_Collections/Zahirovic_etal_2016_ESR_AgeGrid/\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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